A Process Mining Success Factors Model

, , , & (2022) A Process Mining Success Factors Model. In Di Ciccio, Claudio, Dijkman, Remco, del Rio Ortega, Adela, & Rinderle-Ma, Stefanie (Eds.) Business Process Management: 20th International Conference, BPM 2022, Munster, Germany, September 11-16, 2022, Proceedings. Springer, Cham, Switzerland, pp. 143-160.

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Description

Process mining – a suite of techniques for extracting insights from event logs of Information Systems (IS) – is increasingly being used by a wide range of organisations to improve operational efficiency. However, despite extensive studies of Critical Success Factors (CSF) in related domains, CSF studies of process mining are limited. Moreover, these studies merely identify factors, and do not provide essential details such as a clear conceptual understanding of success factors and their interrelationships. Using a process mining success model published in 2013 as a conceptual foundation, we derive an empirically supported, enhanced process mining critical success factors model. Applying a hybrid approach, we qualitatively analyse 62 process mining case reports covering diverse perspectives. We identify nine process mining critical success factors, explain how these factors relate to the process mining context and analyse their interrelationships with regard to process mining success. Our findings will guide organisations to invest in the right mix of critical success factors for value realisation in process mining practice.

Impact and interest:

6 citations in Scopus
1 citations in Web of Science®
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ID Code: 233144
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
Series Name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ORCID iD:
Mamudu, Azumahorcid.org/0000-0003-0897-5112
Bandara, Wasanaorcid.org/0000-0003-2785-7859
Wynn, Moe Thandarorcid.org/0000-0002-7205-8821
Leemans, Sanderorcid.org/0000-0002-5201-7125
Measurements or Duration: 18 pages
Keywords: Process mining, Success Factors, Process mining success, Process mining impact, Case reports
DOI: 10.1007/978-3-031-16103-2_12
ISBN: 978-3-031-16102-5
Pure ID: 112022233
Divisions: Current > Research Centres > Centre for Future Enterprise
Current > QUT Faculties and Divisions > Faculty of Business & Law
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Information Systems
Copyright Owner: 2022 Springer Nature Switzerland AG
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Deposited On: 01 Jul 2022 04:11
Last Modified: 06 Aug 2024 19:47